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Diverging trajectories of trust in healthcare and on-line information seeking: what’s next with LLMs

Diverging trajectories of trust in healthcare and on-line information seeking: what’s next with LLMs

February 1, 2026February 1, 2026
Weekly Roundup – January 31, 2026

Weekly Roundup – January 31, 2026

January 31, 2026February 1, 2026
Embedding clinical intelligence to help close care gaps

Embedding clinical intelligence to help close care gaps

January 31, 2026January 31, 2026
Impact of Mobilization Facilitated by Wearable Device Enhanced Patient Monitoring/Electrophysiology Pod–Based Feedback on Postoperative Complications Following Colorectal Cancer Surgery: Randomized Controlled Trial

Impact of Mobilization Facilitated by Wearable Device Enhanced Patient Monitoring/Electrophysiology Pod–Based Feedback on Postoperative Complications Following Colorectal Cancer Surgery: Randomized Controlled Trial

January 31, 2026January 31, 2026
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Tag: Medicine

FDA Approves First AI Breast Cancer Predictor

FDA Approves First AI Breast Cancer Predictor

June 9, 2025June 9, 2025DistilINFO Hospital IT

Revolutionary FDA Approval Marks Medical Milestone
Startup Clairity has achieved a groundbreaking milestone in healthcare technology, securing FDA approval for the agency’s first artificial intelligence tool specifically designed to predict five-year breast cancer risk from…

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NIH Seeks Industry Input AI Strategy

NIH Seeks Industry Input AI Strategy

June 9, 2025June 10, 2025DistilINFO Hospital IT

The National Institutes of Health (NIH) is actively seeking comprehensive industry feedback on developing its groundbreaking artificial intelligence strategy, marking a pivotal moment in healthcare technology advancement. This strategic initiative represents the federal government’s…

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SQL on FHIR - Tabular views of FHIR data using FHIRPath

SQL on FHIR – Tabular views of FHIR data using FHIRPath

June 9, 2025June 9, 2025npj Digital Medicine

Challenges exist with the adoption of Fast Healthcare Interoperability Resources (FHIR) within analytics, including the difficulty in transforming complex data structures, and performance issues when querying large datasets in their native JSON or XML…

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Transforming Obesity Care: Evan Richardson on How Form Health is Personalizing Patient Care

Transforming Obesity Care: Evan Richardson on How Form Health is Personalizing Patient Care

June 9, 2025June 10, 2025The Pulse by Wharton Digital Health

🎧 Subscribe to The Pulse by Wharton Digital Health on Apple, Spotify, Substack, or Twitter for more conversations with the leaders reshaping health tech.Obesity and weight loss are among the most significant and complex challenges…

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Foundation versus domain-specific models for left ventricular segmentation on cardiac ultrasound

Foundation versus domain-specific models for left ventricular segmentation on cardiac ultrasound

June 6, 2025June 6, 2025npj Digital Medicine

The Segment Anything Model (SAM) was fine-tuned on the EchoNet-Dynamic dataset and evaluated on external transthoracic echocardiography (TTE) and Point-of-Care Ultrasound (POCUS) datasets from CAMUS (University Hospital of St Etienne) and Mayo Clinic (99…

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5 under-resourced health centers tackle AI's challenges together

5 under-resourced health centers tackle AI’s challenges together

June 6, 2025June 6, 2025Healthcare IT news

Under-resourced hospitals face a big artificial intelligence adoption learning curve, but it’s surmountable if they can keep up with rapidly advancing analytics and AI tools in an industry increasingly turning to automation to lower…

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Machine learning to predict penumbra core mismatch in acute ischemic stroke using clinical note data

Machine learning to predict penumbra core mismatch in acute ischemic stroke using clinical note data

June 6, 2025June 6, 2025npj Digital Medicine

In acute ischemic stroke due to large-vessel occlusion (AIS-LVO), late-window endovascular thrombectomy (EVT) decisions depend on penumbra-to-core (P:C) mismatch from computed tomographic perfusion (CTP). We developed multiple machine learning (ML) models to predict P:C…

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A “True Lifecycle Approach” towards governing healthcare AI with the GCC as a global governance model

A “True Lifecycle Approach” towards governing healthcare AI with the GCC as a global governance model

June 6, 2025June 6, 2025npj Digital Medicine

This paper proposes a “True Lifecycle Approach” (TLA) towards governing healthcare AI. The TLA governance model embeds core healthcare law principles—like informed consent, liability, and patient rights—throughout AI’s development, deployment, and use. Unlike narrow…

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Mission Bio Unveils Industry-First Single-Cell Genotype and Targeted Gene Expression Solution

Mission Bio Unveils Industry-First Single-Cell Genotype and Targeted Gene Expression Solution

June 5, 2025June 6, 2025HIT Consultant

What You Should Know:

– Mission Bio, a leader in single-cell multiomics solutions for precision medicine, today announced the launch of its Single-Cell Genotype and Targeted Gene Expression assay, expanding the capabilities of its Tapestri Platform…

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When investigator meets large language models: a qualitative analysis of cancer patient decision-making journeys

When investigator meets large language models: a qualitative analysis of cancer patient decision-making journeys

June 5, 2025June 5, 2025npj Digital Medicine

Large language models (LLMs) are transforming the landscape of healthcare research, yet their role in qualitative analysis remains underexplored. This study compares human-led and LLM-assisted approaches to analyzing cancer patient narratives, using 33 semi-structured…

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The vaccine rollout process is a classic case study for successful projects requiring "people, process and technology." In this equation, the technology infrastructure of an electronic health record and network connectivity seem to be sufficient at most health systems and communities to support the cause. As a result, the most crucial elements to enable success is the project leadership and teamwork amongst all segments of the healthcare delivery system (people and process).

Michael Restuccia

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